The UK Government’s NEED data framework and how it influences policies Chris Nicholls
Contents What is NEED? Methodology and results Using NEED in government Impact on research 2
What is domestic NEED HEED • Energy efficiency Framework for combining measures data from existing sources • Energy Provides insights into how VOA Suppliers AddressBase energy is used Unique Consumption Property property (Elec. and gas) attributes reference • Impact of installing an energy efficiency measures on gas Experian consumption Household characteristics 3
Data inputs Matching via Matching via Data inputs AddressBase AddressBase Gas UPRN UPRN Matching to Meter Number (MPRN), Xoserve What is NEED? address and other data [For 4 aggregators - consumption approx. 20m meters] Obligated energy Meter readings IGTs suppliers [other 6 aggregators - app. 1m meters] Meter point consumption data Supplier permissions SoTA Energy company Consumption data Energy billing systems (used for sub-nat) Company Consumption and Obligation Ofgem Data aggregators meter number (MPAN) Meter readings (ECO) measures [31 organisations] installed National Energy Efficiency Data-Framework (NEED) Gemserv Meter Number (MPAN) Electricity and Address Energy Assessment Measures delivered Performance by accredited Measures delivered (excluding supply info) through Gov’t schemes Certificates assessor Energy Walker Martin suppliers EST web-survey Energy efficiency HEED energy measures installed (self completion) efficiency Construction and measures installed in homes measures installed Housing Surveys Output Area (managed by EST) Census 2001 Classification Data from trade associations (e.g. Measure installed, date of installation and address FENSA, Gas Safe) Experian ONS data consumer surveys National GROS Household Statistics Household level estimates for income and tenure characteristics Experian Postcode Modelling NISRA Residata Directory Royal Mail Experian household demographics and mosaic Ordnance Survey Freely available information e.g. information about properties sold. Property NEED Analysis attributes Valuation Office file at VOA Voluntary questionnaires Agency Property (inc. prop Linking via attributes data) Property surveys Attributes Data UARN/UPRN lookup Information from Local Authorities on planning consent.
Results – domestic consumption 5
Results – domestic consumption Consumption, 2012, by rural urban classification • Rural properties typically consume the most gas and electricity • Driven by property size • Off gas properties in rural areas 6
Results – domestic consumption Gas consumption, 2012, by floor area and index of multiple deprivation • For each floor area band, 35,000 consumption 30,000 higher for less deprived Median gas consumption (kWh) 25,000 Index of Multiple Deprivation Quintile properties 1 20,000 2 3 • 15,000 Deprived areas 4 5 are more likely to 10,000 be social housing - 5,000 more energy efficient, could be 0 50 or less 51 to 100 101 to 150 151 to 200 Over 200 under-heating Floor Area, m² 7
Impact of measures methodology • Difference in differences approach Comparator group Intervention group Gas consumption A B C Time Pre- Intervention Post- intervention intervention • Each property in the intervention group is also matched to an equivalent property in the comparator group to allow comparisons of median, and distributions. 8
Results – impact of measures Annual gas consumption savings by type of measure, 2012 Cavity wall Condensing Solid wall insulation Loft insulation boiler insulation 0% -2% -4% Percentage saving -6% -8% -10% -12% -14% -16% Median Mean -18% 9
Results – impact of measures Annual gas consumption savings by type of measure, 2012 Energy Percentage Saving Efficiency Savings (KWh) Measure CWI Median -8.4% -1,200 Mean -7.1% -1,300 Loft Insulation Median -2.6% -400 Mean -2.2% -400 Condensing Median -9.2% -1,300 Boiler Mean -8.0% -1,500 Solid Wall Median -17.2% -2,200 Insulation Mean -14.7% -2,100 10
NEED’s influence on DECC’s policies • Green Deal and ECO: estimates of savings from insulation measures to inform in-use factors for carbon savings delivered • Revisions to carbon savings delivered by previous schemes (eg. CERT, CESP) • Fuel poverty: consumption by income and tenure to inform policy • Inform development of other policies: heat; RHI, FITs, future policies etc. • More accurate understanding of the impact of policies on Carbon Budgets 11
NEED-related research • Consumption by property attributes: • determine under-heating • rebound effects • Linking to other data: • EPCs: link between EPC ratings and energy consumption • Green Deal evaluation: energy efficiency behaviours and intentions • Behaviours of high/low consumption households • Serial installers • Motivators 12
Thank you Chris.nicholls@decc.gsi.gov.uk 13
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